code: def __init__(self, model):
      super().__init__()
      self.model = model
      self._input = model.input_tensor
      self._output = model.output_tensor
      self._sess = model.sess
  
file_path: BigDL/python/nano/src/bigdl/nano/deps/neural_compressor/tensorflow/model.py
imports: import os
  from bigdl.nano.utils.common import SafePickle
  import yaml
  from pathlib import Path
  from typing import Sequence, Any, Union, Dict
  from neural_compressor.model.model import TensorflowModel
  from bigdl.nano.utils.common import invalidInputError
  from bigdl.nano.utils.tf import convert_all
  from bigdl.nano.tf.model import KerasOptimizedModel
  from ..core import version
label_desc: Use image node_id 1 to create a new KerasQuantizedModel object from inherited base classes: KerasOptimizedModel with example: obj = KerasQuantizedModel(model)